Gradual syntactic triggering
The gradient parameter hypothesis
Datos Bibliográficos
| ID | 21630862 |
|---|---|
| Autores | Katherine Howitt (Hunter College, City University of New York), Soumik Dey (Hunter College, City University of New York), William Gregory Sakas (Hunter College, City University of New York, autor de correspondencia) |
| Año | 2021 |
| Volumen | 28 |
| Número | 1 |
| Páginas | 65-96 |
| Fecha de publicación | 2021-01-02 |
| Peer Reviewed | Sí |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | Language Acquisition (JOURNAL) |
| Identificadores de la revista | ISSN: 1048-9223 • E-ISSN: 1532-7817 |
| Editorial | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/10489223.2020.1803329 |
| OpenAlex | W3092322361 |
| Idioma | EN |
| Citas recibidas | 1 |
| Referencias citadas | 42 |
In this article, we propose a reconceptualization of the principles and parameters (P&P) framework. We argue that in lieu of discrete parameter values, a parameter value exists on a gradient plane that encodes a learner’s confidence that a particular parametric structure licenses the utterances in the learner’s linguistic input. Crucially, this gradient parameter hypothesis obviates the need for default parameter values. Default parameter values can be put to use effectively from the perspective of linguistic learnability but are lacking in terms of empirical and theoretical consistency. We present findings from a computational implementation of a gradient P&P learner. The findings suggest that the gradient parameter hypothesis provides the basis for a viable alternative to existing computational models of language acquisition in the classic P&P paradigm. We close with a brief discussion of how a gradient parameter space offers a path to address shortcomings that have been attributed to the P&P framework
Computer Science · Mathematics · Natural Language Processing Techniques · semigroups and automata theory · Syntax, Semantics, Linguistic Variation
Stochastic models for learning.
Language Acquisition and the Theory of Parameters
The Acquisition of Syntactic Knowledge
Simpler Syntax
Parameters and Learnability in Binding Theory
Language identification in the limit
Generalization, similarity, and Bayesian inference
The Fine Structure of the Left Periphery
Lectures on Government and Binding
Colorless green ideas do sleep furiously
Knowledge and Learning in Natural Language
Prosodic structure and syntactic acquisition
Knowledge of language
Reflexes of grammar in patterns of language change
Cognition and the Development of Language
The Subset Principle in syntax
Parsing to Learn
Typological evidence and Universal Grammar
Unambiguous Triggers
V-Raising and Grammar Competition in Korean
The Logical Structure of Linguistic Theory
| Obras citantes distintas | 1 |
|---|---|
| Citas por año | 1 |
| Intervalo de citas | 2026 - 2026 (1) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 1 |